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Book synopsis

This volume introduces innovative power estimation and optimization methodologies to support the design of low power embedded systems based on high-performance VLIW microprocessors. A VLIW processor is a (generally) pipelined processor that can execute, in each clock cycle, a set of explicitly parallel operations.The main contribution of Power Estimation and Optimization Methodologies for VLIW-based Embedded Systems consists of the introduction of innovative power estimation and optimization methodologies to support the design of low power embedded systems based on high-performance Very Long Instruction Word (VLIW) microprocessors. A VLIW processor is a (generally) pipelined processor that can execute, in each clock cycle, a set of explicitly parallel operations; this set of operations is statically scheduled to form a Very Long Instruction Word.§The proposed estimation techniques are integrated into a set of tools operating at the instruction level and they are characterized by efficiency and accuracy. The aim is the definition of an overall power estimation framework, from a system-level perspective, where novel power optimization techniques can be evaluated.§The proposed power optimization techniques are addressed to the micro-architectural as well as the system level. Two main optimization techniques have been proposed: the definition of register file write inhibition schemes that exploit the forwarding paths, and the definition of a design exploration framework for an efficient fine-tuning of the configurable modules of an embedded system.

Book details

Book category Knihy po anglicky Computing & information technology Graphical & digital media applications Computer-aided design (CAD)

• Full title: Power Estimation and Optimization Methodologies for VLIW-based Embedded Systems
• Author: Vittorio Zaccaria, M.G. Sami, Donatella Sciuto, Cristina Silvano
• Language: English
• Binding: Paperback
• Number of pages: 203
• EAN: 9781441953391
• ISBN: 1441953396
• ID: 01423641
• Publisher: Springer, Berlin
• Weight: 355 g
• Dimensions: 240 × 160 × 12 mm
• Date of publishing: 21. October 2010

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